Paper algorithm Implementions of Neural Network by Pytorch

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Neural network (CNN) with TensorFlow [AlexNet architecture] that classifies 4 types of geometric shapes. Validation accuracy ~ 99.3% so nothing impressive here.

cifar, imagenet

This repository contains classification of Intel image dataset with numerous algorithms. Enjoy 🙂

AlexNet Implementation in PyTorch

This repository is a comprehensive exploration of image classification methodologies using CNN architecture, such as a dynamic Residual CNN and AlexNet model. Through PyTorch implementation, hyperparameter tuning, and detailed training scripts, the repository emphasizes robust image classification techniques with a focus on diverse scenes.

Transforming agriculture with AI: Explore our GitHub for advanced plant disease detection. Utilizing top CNN models, we empower farmers with early diagnosis tools. Access notebooks, datasets, and a user-friendly web app. Join us in revolutionizing farming for a sustainable future

Different template codes for Deep Learning with PyTorch.

Implementation on tensorflow fine tuning of generic CNN based model

Convolutional Neural Net implementation using pytorch for CS7GV1

Implementation of different CNN architectures

Feature extraction network using AlexNet and TensorFlow to use on the German Traffic Sign Recognition Benchmark dataset

This repository is an import of the original repository that contains some of the models we had tested on the RAVDESS and TESS dataset for our research on Speech Emotion Recognition Models.

Implementation of AlexNet through a Transfer Learning Approach over CIFAR-10 Dataset using PyTorch from Scratch, presenting an accuracy of ~87%

밑바닥에서 부터 시작하는 딥러닝

Image & Video Technology and Analysis [ECE NTUA]

Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.

🥸✅ 🐵❌Developing a babysitting algorithm to preprocess CIFAR10 and FDDB Dataset and train them on Alexnet using Pytorch